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Showing 1 to 15 of 305 results Save | Export
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Xiaojuan Zhang; Bing Cheng; Yu Zou; Yang Zhang – Journal of Speech, Language, and Hearing Research, 2025
Purpose: This meta-analysis study aimed to determine the optimal level of talker variability in training to maximize second-language speech learning. Method: We conducted a systematic search for studies comparing different levels of talker variability in nonnative speech training, published through July 2024. Two independent reviewers screened…
Descriptors: Meta Analysis, Bayesian Statistics, Second Language Learning, Language Acquisition
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Abid el Majidi; Rick de Graaff; Daniel Janssen – Language Teaching Research, 2024
Many secondary school students' second language (L2) speaking skills suffer from deficiencies; the effects thereof are detrimental to their academic and career opportunities in a globalized world that highlights the importance of oral communication skills. Debate has been considered a potentially effective speaking pedagogical tool that can…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Second Language Learning
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Adam J. Hogan; Todd A. Gibson; Vivian Luong – International Journal of Bilingual Education and Bilingualism, 2024
Without data on speech accuracy of Vietnamese-English speakers, speech-language pathologists (SLPs) are unable to assess accurately this population for speech sound disorders. This study explored the heretofore uninvestigated speech accuracy and use of Vietnamese-English bilingual individuals residing in the USA. Participants included six…
Descriptors: Speech Communication, Family Relationship, English (Second Language), Second Language Learning
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Areum Lee – English Teaching, 2025
The semi-direct speaking test format has limitations, particularly due to its lack of situational authenticity and contextualized input. To address this issue, virtual reality (VR) can be integrated into speaking proficiency tests to enhance authenticity. In this study, a newly designed VR speaking test was administered, and test-takers'…
Descriptors: Computer Simulation, Speech Tests, Language Tests, Language Proficiency
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Chenghao Wang; Xueyun Li; Bin Zou – European Journal of Education, 2025
Research on the factors influencing the acceptance of GenAI in language learning has expanded widely; however, few studies have focused on the role of language learning emotions. To enhance the effectiveness of GenAI-powered English-speaking instruction and the learning experience, this study expands on the Integrated Model of Technology…
Descriptors: Technology Uses in Education, Technology Integration, Artificial Intelligence, Second Language Learning
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Zoe L. Handley; Haiping Wang – Language Assessment Quarterly, 2024
This paper explores what the measures of utterance fluency typically employed in Automatic Speech Evaluation (ASE), i.e. automated speaking assessments, tell us about oral proficiency. 60 Chinese learners of English completed the second part of the speaking section of IELTS and six tasks designed to measure the linguistic knowledge and processing…
Descriptors: Foreign Countries, Speech Evaluation, Graduate Students, Articulation (Speech)
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Andrea Révész; Hyeonjeong Jeong; Shungo Suzuki; Haining Cui; Shunsui Matsuura; Kazuya Saito; Motoaki Sugiura – Studies in Second Language Acquisition, 2024
The last three decades have seen significant development in understanding and describing the effects of task complexity on learner internal processes. However, researchers have primarily employed behavioral methods to investigate task-generated cognitive load. Being the first to adopt neuroimaging to study second language (L2) task effects, we…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Decision Making Skills
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Bing Mei; Wenya Qi; Xiao Huang; Shuo Huang – RELC Journal: A Journal of Language Teaching and Research, 2024
Recent years have witnessed the growing presence of artificial intelligence in language learning apps. Against this backdrop, this technology review provides an overview of the affordances of Speeko and discusses its potential in developing English-as-a-foreign-language students' public speaking skills.
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Speech Communication, Speech Skills
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Xiaoqin Shi; Xiaoqing Wang; Wei Zhang – Language Testing in Asia, 2024
Automatic Speech Scoring (ASS) has increasingly become a useful tool in oral proficiency testing for Second Language (L2) learners. However, limited studies investigate the alignment of ASS indices with the Complexity, Accuracy, and Fluency (CAF)--the three dimensions in evaluating L2 speakers' oral proficiency, and the subsequent impact indices…
Descriptors: Speech Communication, Oral Language, Language Proficiency, Scoring
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Thanachporn Varapongsittikul; Sujinat Jitwiriyanont – LEARN Journal: Language Education and Acquisition Research Network, 2025
This study aims to investigate the VOT values of English wordinitial plosive consonants produced by young Thai learners to understand current trends in English pronunciation among Thai speakers and its future direction. The study analyzes how phonological mismatches between Thai and English affect the pronunciation of Thai learners, using a speech…
Descriptors: Phonemes, Thai, Native Language, Second Language Instruction
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Paulina Horbowicz; Marte Nordanger – Applied Linguistics, 2025
Drawing on recent scholarship integrating usage-based linguistics (UBL) and conversation analysis (CA) in the investigation of second language development, this paper reports on a microanalysis tracing one adult learner's recurring, increasingly frequent, and diverse use of the multiword expression "det er sant" (it/that is true) (DES)…
Descriptors: Second Language Learning, Expressive Language, Interaction, Speech Communication
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Nutprapha K. Dennis – IAFOR Journal of Education, 2024
This study aimed to investigate the impact of AI-powered Speech Recognition Technology (AISRT) in improving English pronunciation and speaking skills among EFL learners. Additionally, it explored the opinions and responses of EFL learners towards the use of this technology for pronunciation and speaking skill enhancement. The research employed a…
Descriptors: Artificial Intelligence, Audio Equipment, Speech Communication, Augmentative and Alternative Communication
Nadia Iesha Millsap – ProQuest LLC, 2024
In 2023, immigrants and their United States born offspring accounted for approximately 90.8 million individuals (27%) of the civilian noninstitutionalized U.S. population (Batalova, 2024). Compared to 2010, this is a rise of about 14.7 million (20%). As the global population becomes more diverse, speech-language pathologists (SLPs) face the…
Descriptors: Speech Language Pathology, Best Practices, Allied Health Personnel, Multilingualism
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Maria Kostromitina; Yongzhi Miao – Studies in Second Language Learning and Teaching, 2024
English has become an international language (EIL) as speakers around the world use it as a universal means of communication. Accordingly, scholars have investigated different aspects of EIL affecting communicative success. Speech scholars have been interested in speech constructs like accentedness, comprehensibility, and acceptability (e.g., Kang…
Descriptors: Pragmatics, Speech Acts, Second Language Learning, Second Language Instruction
Sujin Oh – ProQuest LLC, 2024
The revised Speech Learning Model (SLM-r) postulates that learners with more precisely defined categories in their native language (L1) exhibit greater proficiency in acquiring sounds in a second language (L2). Despite its recent emergence, empirical studies validating this hypothesis remain scarce. This study aims to investigate the predictive…
Descriptors: Native Language, Second Language Learning, Speech Communication, Individual Differences
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